Evaluating the Prevalence and Effects of Disguised Unemployment in Ireland

Rajgopalan, Sriram (2024) Evaluating the Prevalence and Effects of Disguised Unemployment in Ireland. Masters thesis, Dublin, National College of Ireland.

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Abstract

“Unemployability” - a situational hazard in Ireland, that the majority of the population is experiencing currently. The idea of unemployment changes when the absolute factors that influence an individual’s employability are considered. This is because the current employment situation of an individual in Ireland is mostly based on employable indices such as age, gender, skills, nativity, education and nature of work. When these factors are collectively analysed, it explains the fact that an individual’s potential is not completely utilised but remains employed. This phenomenon is known as “Disguised Unemployment”. This study is undertaken to evaluate various employable factors of an individual, using five different datasets, by understanding the distribution of unemployability due to each of the employable indices (One index per dataset). Once the trend of unemployment is understood, an ensemble technique “Stacking” using “Random Forest” and “SVM” as the base model and “Logistic regression” as a meta-model is implemented to identify how the state of unemployment is considered disguised. The model’s outcome is evaluated via a confusion matrix by classifying every dataset individually and the key predictors are discovered using SHAP (SHapley Additive exPlanations). These key predictors are explained collectively in the end, to justify how unemployment is disguised among various factors considered for this study.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Singh, Jaswinder UNSPECIFIED
Uncontrolled Keywords:	Ireland; Disguised Unemployment; Stacking Classifier; Logistic regression; Random Forest; SVC; SHAP
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science J Political Science > JN Political institutions (Europe) > Ireland H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work > Unemployment
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	04 Sep 2025 11:12
Last Modified:	04 Sep 2025 11:12
URI:	https://norma.ncirl.ie/id/eprint/8782

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